Ik Jun Moon

669 citations
38 papers · 450 · h-index 12

Impact in

    • Cutaneous lymphoproliferative disorders research
    • Skin Protection and Aging
    • Dermatologic Treatments and Research

Papers in

    • Cutaneous lymphoproliferative disorders research 8
    • Skin Protection and Aging 6
    • Dermatologic Treatments and Research 5
    • Facial Rejuvenation and Surgery Techniques 4
    • Cutaneous Melanoma Detection and Management 5

Ik Jun Moon

36 papers receiving 435 citations

Peers

Ik Jun Moon
Comparison fields: 5 of 87
  • Dermatology 136
  • Health Informatics 20
  • Oncology 141
  • Urology 19
  • Cell Biology 47
Replace Jamie Tan with:
Jamie Tan Australia
Parviz Toossi Iran
Kayhan Başak Türkiye
Tae Jin Yoon South Korea
Charles H. Earnshaw United Kingdom
Azura Mohd Affandi Malaysia
Lifan Wang China
Lingyun Zhao China
Yoo Min Han South Korea
Zhe-Yu Hu China
Ik Jun Moon relative to Jamie Tan Australia Jamie Tan's profile →
Citations per field
00.5×3.7×
Jamie Tan · 1×
Citations per year

Countries citing papers authored by Ik Jun Moon

Since Specialization
Citations

This map shows the geographic impact of Ik Jun Moon's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ik Jun Moon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ik Jun Moon more than expected).

Fields of papers citing papers by Ik Jun Moon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ik Jun Moon. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ik Jun Moon. The network helps show where Ik Jun Moon may publish in the future.

Co-authors

The 25 scholars most cited alongside Ik Jun Moon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ik Jun Moon Line = papers co-authored together Ik Jun Moon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019104
2 202244
3 202037
4 201630
5 201726
6 202221
7 201617
8 201615
9 202013
10 202113
11 201612
12 202111
13 202210
14 202110
15 20238
16 20218
17 20207
18 20167
19 20167
20 20246

About Ik Jun Moon

Ik Jun Moon is a scholar working on Dermatology, Oncology, Cell Biology, Pathology and Forensic Medicine and Epidemiology, having authored 38 papers that have together received 450 indexed citations. Recurring topics across this work include Cutaneous lymphoproliferative disorders research (8 papers), melanin and skin pigmentation (7 papers), Skin Protection and Aging (6 papers), Cutaneous Melanoma Detection and Management (5 papers), Dermatologic Treatments and Research (5 papers), Lymphoma Diagnosis and Treatment (5 papers), Facial Rejuvenation and Surgery Techniques (4 papers) and Fungal Infections and Studies (3 papers). The work is most often cited by research in Dermatology (136 citations), Health Informatics (20 citations), Oncology (141 citations), Urology (19 citations) and Cell Biology (47 citations). Ik Jun Moon has collaborated with scholars based in South Korea, United States and Chile. Frequent co-authors include Sung Eun Chang, Chong Hyun Won, Seong Hwan Kim, Seung Seog Han, Jung‐Im Na, Woo Jin Lee, Woohyung Lim, In Suck Suh, Mi Woo Lee and Sam Yong Lee. Their work appears in journals such as Scientific Reports, Journal of Clinical Medicine, Journal of Dermatological Treatment, International Journal of Molecular Sciences and Journal of the American Academy of Dermatology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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